Can you use t-test for medians?
The t-test is a test for the hypothesis of equal means, whereas the WMW test is less specific. If the underlying distributions of the variable in the two groups differ only in location, i.e. in means and medians, the WMW test is a test for the hypothesis of equal medians.
What are the applications of median test?
The median test is a non-parametric test that is used to test whether two (or more) independent groups differ in central tendency – specifically whether the groups have been drawn from a population with the same median. The null hypothesis is that the groups are drawn from populations with the same median.
When to use the median test for independent medians?
The median test for independent medians tests if two or more populations have equal medians on some variable. That is, we’re comparing 2 (+) groups of cases on 1 variable at a time. We’ll demonstrate the median test on adratings.sav.
How to compare between medians of more than two groups?
For two quantitative data sets (One is normally distributed and summarized as means, while the other is not normally distributed and summarized as medians), how to test the statistical significance of differences between the means and the medians in such a case? I would appreciate your help regarding this point.
What’s the difference between the median and chi square values?
On the other hand, for the median test the difference in medians is zero, since the two medians are equal, the t-value is 0 and has a p-value of 1.0 (some median tests report a chi-square value which in this case, will also be 0 with a p-value of 1.0).
How to test the statistical significance of the difference?
You can surely bootstrap the difference between means, or the difference between medians, or the ratio between means etc. – whatever is the interesting statistic in the context of your research question.